Proceedings Paper
Application of improved genetic algorithm in camera calibration| Format | Member Price | Non-Member Price |
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Paper Abstract
With the camera internal parameters known, to calculate the external parameters is to solve a set of highly nonlinear over-determined equations. In this paper, an improved hybrid genetic algorithm is adopted to obtain external parameters. It combines the advantages of genetic algorithm and Newton method, making it possible to obtain results with high accuracy and a faster convergence.
Paper Details
Date Published: 19 September 2014
PDF: 8 pages
Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161O (19 September 2014);
Published in SPIE Proceedings Vol. 9216:
Optics and Photonics for Information Processing VIII
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Andrés Márquez, Editor(s)
PDF: 8 pages
Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161O (19 September 2014);
Show Author Affiliations
Weimin Li, Univ. of Science and Technology of China (China)
Hui Liu, Univ. of Science and Technology of China (China)
Hui Liu, Univ. of Science and Technology of China (China)
Lichun Zhu, National Astronomical Observatories (China)
Yu Zhao, Univ. of Science and Technology of China (China)
Yu Zhao, Univ. of Science and Technology of China (China)
Published in SPIE Proceedings Vol. 9216:
Optics and Photonics for Information Processing VIII
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Andrés Márquez, Editor(s)
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